Keyvan Hashtrudi-Zaad
Papers
32
Total Citations
902
H-Index
18
About
Keyvan Hashtrudi-Zaad is a prominent researcher whose work sits at the intersection of robotics, teleoperation, haptics, and human-machine interaction. His research has made substantial contributions to the design and analysis of multilateral teleoperation systems, where his pioneering development of four- and six-channel shared control architectures — incorporating a dominance factor to dynamically distribute authority between dual users — has fundamentally advanced collaborative robotic training and surgical applications, earning over 150 combined citations. Equally influential is his sustained work on contact environment modeling, particularly real-time identification of the physically consistent Hunt-Crossley dynamic model, with multiple papers accumulating nearly 200 citations collectively. Hashtrudi-Zaad has also made significant strides in human arm dynamics estimation and EMG-based force prediction, enabling smarter prosthetics and human-robot interfaces. His neural-network-based contact force observers and optimization-driven compliance control strategies further demonstrate the breadth of his contributions to intelligent robotic control. Across more than a decade of prolific research, his work has provided both theoretical frameworks — including rigorous coupled stability analyses — and practical tools that continue to shape modern robotics, haptics, and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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- 4Neural-Network-Based Contact Force Observers for Haptic Applications68 citations · 2006
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- 8A Method for Online Estimation of Human Arm Dynamics40 citations · 2006
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